{"id":"https://openalex.org/W4407064793","doi":"https://doi.org/10.1016/j.eswa.2025.126725","title":"White blood cell classification using multi-hop attention graph neural networks","display_name":"White blood cell classification using multi-hop attention graph neural networks","publication_year":2025,"publication_date":"2025-02-01","ids":{"openalex":"https://openalex.org/W4407064793","doi":"https://doi.org/10.1016/j.eswa.2025.126725"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2025.126725","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2025.126725","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.eswa.2025.126725","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042141088","display_name":"Minh Ly Duc","orcid":"https://orcid.org/0000-0003-0200-7153"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]},{"id":"https://openalex.org/I4210123993","display_name":"Van Lang University","ror":"https://ror.org/02ryrf141","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210123993"]}],"countries":["CZ","VN"],"is_corresponding":true,"raw_author_name":"Minh Ly Duc","raw_affiliation_strings":["Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2013Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czechia","Faculty of Commerce, Van Lang University, Ho Chi Minh City, Viet Nam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2013Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czechia","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"Faculty of Commerce, Van Lang University, Ho Chi Minh City, Viet Nam","institution_ids":["https://openalex.org/I4210123993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015416684","display_name":"Petr Bil\u00edk","orcid":"https://orcid.org/0000-0001-8655-778X"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Petr Bilik","raw_affiliation_strings":["Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2013Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czechia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2013Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czechia","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042254735","display_name":"Radek Mart\u00ednek","orcid":"https://orcid.org/0000-0003-2054-143X"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Radek Martinek","raw_affiliation_strings":["Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2013Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czechia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB\u2013Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czechia","institution_ids":["https://openalex.org/I142208455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042141088"],"corresponding_institution_ids":["https://openalex.org/I142208455","https://openalex.org/I4210123993"],"apc_list":{"value":3220,"currency":"USD","value_usd":3220},"apc_paid":{"value":3220,"currency":"USD","value_usd":3220},"fwci":4.2114,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94349554,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"272","issue":null,"first_page":"126725","last_page":"126725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054922580718994},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5234657526016235},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.4759640097618103},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4579412639141083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40714672207832336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3291170597076416},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2251138985157013},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18695533275604248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054922580718994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5234657526016235},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.4759640097618103},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4579412639141083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40714672207832336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3291170597076416},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2251138985157013},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18695533275604248}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.eswa.2025.126725","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2025.126725","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.eswa.2025.126725","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.eswa.2025.126725","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G535059049","display_name":null,"funder_award_id":"CZ.10.03.01/00/22_0 03/0000048","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7263319428","display_name":null,"funder_award_id":"SP2025/033","funder_id":"https://openalex.org/F4320321005","funder_display_name":"Ministerstvo \u0160kolstv\u00ed, Ml\u00e1de\u017ee a T\u011blov\u00fdchovy"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321005","display_name":"Ministerstvo \u0160kolstv\u00ed, Ml\u00e1de\u017ee a T\u011blov\u00fdchovy","ror":"https://ror.org/037n8p820"},{"id":"https://openalex.org/F4320323872","display_name":"Vysok\u00e1 \u0160kola B\u00e1nsk\u00e1 - Technick\u00e1 Univerzita Ostrava","ror":"https://ror.org/05x8mcb75"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W1976985517","https://openalex.org/W2116341502","https://openalex.org/W2119959979","https://openalex.org/W2129306023","https://openalex.org/W2229331245","https://openalex.org/W2259775351","https://openalex.org/W2315770117","https://openalex.org/W2402659155","https://openalex.org/W2546948708","https://openalex.org/W2570372101","https://openalex.org/W2738900493","https://openalex.org/W2750398991","https://openalex.org/W2765198581","https://openalex.org/W2767426931","https://openalex.org/W2773694050","https://openalex.org/W2773731871","https://openalex.org/W2777186991","https://openalex.org/W2778784312","https://openalex.org/W2792278465","https://openalex.org/W2802444330","https://openalex.org/W2808242482","https://openalex.org/W2907677510","https://openalex.org/W2909225032","https://openalex.org/W2913909497","https://openalex.org/W2921115672","https://openalex.org/W2922422128","https://openalex.org/W2963415778","https://openalex.org/W2980440074","https://openalex.org/W2980819513","https://openalex.org/W2992982579","https://openalex.org/W2998825217","https://openalex.org/W3003142943","https://openalex.org/W3006315341","https://openalex.org/W3020597450","https://openalex.org/W3020886002","https://openalex.org/W3033696290","https://openalex.org/W3042322417","https://openalex.org/W3049120262","https://openalex.org/W3101055875","https://openalex.org/W3107084261","https://openalex.org/W3114200511","https://openalex.org/W3117928012","https://openalex.org/W3177525997","https://openalex.org/W3193501747","https://openalex.org/W3209062824","https://openalex.org/W3211088544","https://openalex.org/W4206022743","https://openalex.org/W4214847660","https://openalex.org/W4220926341","https://openalex.org/W4233187594","https://openalex.org/W4236610125","https://openalex.org/W4241322261","https://openalex.org/W4247224450","https://openalex.org/W4251961722","https://openalex.org/W4254915859","https://openalex.org/W4292603729","https://openalex.org/W4301142047","https://openalex.org/W4312605591","https://openalex.org/W4312825639","https://openalex.org/W4313509986","https://openalex.org/W4313554976","https://openalex.org/W4378982448","https://openalex.org/W4384820848","https://openalex.org/W4386990869","https://openalex.org/W4388522247","https://openalex.org/W4389058230","https://openalex.org/W4389170287","https://openalex.org/W4389610784","https://openalex.org/W4391756887","https://openalex.org/W4395071304","https://openalex.org/W4399728851","https://openalex.org/W4399885961","https://openalex.org/W4402597514","https://openalex.org/W6713508898","https://openalex.org/W6718202068","https://openalex.org/W6730760897","https://openalex.org/W6746821835","https://openalex.org/W6757070083","https://openalex.org/W6757284828","https://openalex.org/W6761108903","https://openalex.org/W6772426132","https://openalex.org/W6774434044"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"\u2022":[0,39,74,113,128,157,191,208],"Hematopoiesis:":[1],"This":[2,64],"process":[3,28,250,290],"occurs":[4,256],"in":[5,26,46,59,151,257,288,316,392],"the":[6,19,98,109,123,152,203,211,224,231,235,244,258,289,343,362,377,380,386,393,396,447,450,457,461,464,478,490,499,523],"bone":[7,259],"marrow,":[8,260],"where":[9,261],"hematopoietic":[10,273],"stem":[11,274],"cells":[12,45,54,93,254,275,310],"(HSCs)":[13,265],"divide":[14],"and":[15,61,70,89,119,159,181,230,243,270,318,326,338,358,384,456,474,493,496,502,520],"differentiate":[16],"to":[17,134,144,218,223,279,293,375,402,516,525],"maintain":[18],"balance":[20,282],"between":[21,283],"blood":[22,31,44,53,92,140,167,189,253,284,294],"cell":[23,141,168,285],"lines.":[24],"Disorders":[25],"this":[27],"can":[29,215,291,521],"cause":[30],"diseases":[32,295],"such":[33,296],"as":[34,297],"anemia,":[35,298],"leukocytosis,":[36],"or":[37,305],"thrombocytopenia.":[38,306],"Identification":[40],"of":[41,50,138,173,187,199,210,228,234,251,272,379,395,412,423,434,439,446,449,460,463,528],"malignant":[42,51,308],"white":[43,52,91,139,166,188],"leukemia:":[47],"Accurate":[48],"identification":[49],"through":[55,122,361],"images":[56,96,169,313,341,382,429,438],"is":[57,314,353,373,453,467],"important":[58],"diagnosing":[60,317],"treating":[62,319],"leukemia.":[63],"helps":[65,515],"doctors":[66,322],"make":[67,323],"accurate":[68,324],"diagnoses":[69],"apply":[71,522],"appropriate":[72,328],"treatments.":[73],"New":[75],"method":[76,86,102,335,352,372,480,492,501],"using":[77,97,342,477,489,498,507],"Graph":[78,346,397,510],"Neural":[79,347,398,511],"Networks":[80,348,512],"(GNN):":[81],"The":[82,162,192,213,249,268,330,350,367,405,443,470],"author":[83,331],"proposes":[84,332],"a":[85,171,196,281,333,421,482],"for":[87,116,155,336,355],"identifying":[88],"classifying":[90,339],"based":[94,311],"on":[95,312],"Multi-hop":[99,245,344,508],"Attention":[100,246,345,509],"GNN":[101,153,247,483],"(":[103],"Fig.":[104],"1":[105,178,417],"),":[106],"along":[107],"with":[108,170,239,420,436,485],"following":[110],"supporting":[111],"methods:":[112],"YOLO-v10:":[114],"Used":[115,133],"object":[117,225,356,486],"detection":[118,357],"image":[120,220,359,387,410,472,505,529],"preprocessing":[121,360],"Centre":[124,363],"Net":[125,364],"network":[126,238,365],"architecture.":[127,366],"Salp":[129,368],"Swam":[130],"Optimization":[131,370],"(SSO):":[132],"select":[135,376],"optimal":[136],"features":[137,147,378,388],"images,":[142],"helping":[143,321],"put":[145,385],"these":[146],"into":[148,183,389,431],"each":[149,390],"node":[150,391],"architecture":[154,394,484],"classification.":[156,404],"Dataset":[158],"model":[160,194,214,401,452,466,476,524],"performance:":[161],"dataset":[163,406],"includes":[164],"16,027":[165,424],"resolution":[172,419],"about":[174],"42":[175,414],"pixels":[176,415],"per":[177,416],"\u03bcm,":[179],"annotated":[180,425],"classified":[182,430],"9":[184,432],"different":[185],"types":[186,433,527],"cells.":[190],"YLSSOGNN":[193,451],"achieves":[195,205],"classification":[197,232,444,458,475,506],"accuracy":[198,445,459],"99.18":[200,454],"%,":[201,455],"while":[202],"YLGNN":[204,465],"99.03":[206,468],"%.":[207,469],"Application":[209],"model:":[212],"be":[216],"applied":[217],"other":[219,526],"objects":[221],"thanks":[222],"recognition":[226,473,487],"function":[227,488],"YOLO-v10":[229,351,491],"ability":[233],"graph":[236],"neural":[237],"SSO":[240,500],"optimization":[241,497],"technique":[242],"model.":[248],"creating":[252],"(hematopoiesis)":[255],"Hematopoietic":[262],"Stem":[263],"Cells":[264],"are":[266,276],"located.":[267],"division":[269],"differentiation":[271],"tightly":[277],"regulated":[278],"ensure":[280],"lineages.":[286],"Disturbances":[287],"lead":[292],"high":[299,518],"White":[300,426],"Blood":[301,427],"Cell":[302,428],"(WBC)":[303],"count,":[304],"Detecting":[307],"leukemia":[309],"crucial":[315],"leukemia,":[320],"diagnoses,":[325],"providing":[327],"treatment.":[329],"new":[334],"recognizing":[337],"WBC":[340,381,435,471,504],"method.":[349],"used":[354,407],"Swarm":[369],"(SSO)":[371],"deployed":[374],"optimally":[383],"Network":[399],"(GNN)":[400],"perform":[403],"has":[408,481],"an":[409],"quality":[411],"approximately":[413],"\u03bcm":[418],"total":[422],"characteristic":[437],"clinically":[440],"significant":[441],"pathologies.":[442],"system":[448,462],"post-learning":[479],"feature":[494],"extraction":[495],"performs":[503],"model,":[513],"which":[514],"bring":[517],"performance":[519],"objects.":[530]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}